Alternatives and similar repositories for ECoL

Users that are interested in ECoL are comparing it to the libraries listed below

• rivolli / mfe
  Meta-Feature Extractor
  ☆31Updated 3 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆138Updated 5 months ago
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆42Updated 2 years ago
• smastelini / mtr-toolkit
  ☆16Updated 7 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• gabrieljaguiar / nemenyi
  Post-hoc Nemenyi test for algorithm statistical comparison.
  ☆22Updated 5 years ago
• sherbold / autorank
  ☆87Updated 6 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated 2 years ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆70Updated last year
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆283Updated last week
• nogueirs / JMLR2018
  The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.
  ☆17Updated 7 years ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆178Updated 2 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 3 years ago
• janezd / baycomp
  ☆75Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆299Updated 2 years ago
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆190Updated 6 years ago
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆109Updated 5 years ago
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆78Updated last year
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆107Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆107Updated last year
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago